Senior Technical Program Manager

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $195k
$138k $245k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $174,950–$214,237.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Technical Program Manager

As a Senior Technical Program Manager within the Global IT PMO, you will lead the delivery of sophisticated, enterprise-scale supply chain programs at the intersection of technology, business, and compliance. You will manage IT programs for AI chip NPI, advanced packaging readiness, manufacturing execution, and supply chain planning. Your daily work involves partnering with engineering, finance, and supply chain teams to turn operational needs into IT delivery roadmaps. You will drive enhancements across SAP, MES, and analytics platforms while coordinating enterprise architecture, data engineering, cybersecurity, and infrastructure. Key responsibilities include managing risk registers, leading UAT, and delivering executive dashboards for launch readiness. You must possess expertise in Agile/Scrum, Jira, and master data management to solve complex semiconductor manufacturing and hardware supply chain problems.

What does a Technical Program Manager earn in California?

Median $200000 from 105 postings across 25 companies.

See salary data

What you'll do

  • Lead IT programs for AI chip NPI, manufacturing execution, and supply chain planning.
  • Translate operational needs into clear IT delivery roadmaps for engineering and manufacturing teams.
  • Drive enhancements across core enterprise platforms including SAP, MES, and analytics.
  • Coordinate cross-functional execution across architecture, data engineering, cybersecurity, and infrastructure.
  • Deliver executive dashboards providing real-time visibility into NPI milestones and supplier status.
  • Manage program milestones, risk registers, vendor scope, and schedules.
  • Lead UAT, deployment, training, and post-launch stabilization while streamlining processes through automation.

What we're looking for

  • Bachelor’s degree (or MBA) in Supply Chain Management, Business, Computer Science, or a related field (or equivalent experience).
  • 12+ years of experience.
  • Consistent track record leading multi-functional IT programs, enterprise systems, data platforms, and workflow automation.
  • Deep understanding of requirements gathering, solution design, Agile/Scrum, testing, deployment, and operational support.
  • Solid experience partnering with engineering, operations, supply chain, manufacturing, quality, and finance teams.
  • Ability to translate complex operations into clear system requirements, program plans, governance mechanisms, and measurable outcomes.
  • Practical experience defining metrics, building dashboards, ensuring data quality, and presenting executive-level reporting.
  • Demonstrated capability in leading implementation partners, cross-team dependencies, risk mitigation, and executive communication.
  • Direct experience supporting AI chip NPI, advanced packaging, hardware supply chain, or semiconductor manufacturing processes (preferred).
  • Hands-on background leading SAP S/4HANA transformations, large-scale ERP rollouts, or master data management implementations (preferred).
  • Demonstrable experience with global supply chain ecosystems, external manufacturing partners, role-based access control, and audit compliance (preferred).
  • Active PMP certification paired with deep proficiency in Jira and scale-ready Agile delivery models (preferred).

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